Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
As a Consultant, you’ll work on projects associated with the design, development, and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter authority in Nationwide’s risks. It’s imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.
Job Description
Key Responsibilities:
- Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
- Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
- Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
- Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
- Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
- Crafts and updates model documentation for business continuity purposes.
- Collaborates to develop creative solutions to business problems.
- Acts as the technology owner for Risk Analytics.
May perform other responsibilities as assigned.
Reporting Relationships: Reports to Risk/Actuarial leader.
Typical Skills and Experiences:
Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.
License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.
Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.
Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.